Volume-Regularized Structured Matrix Factorization
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘vrnmf’ version 1.0.2
Help Pages
| AnchorFree | Non-negative tri-factorization of co-occurence matrix using minimum volume approach. |
| factor_intensities | Infer a matrix of non-negative intensities in NMF with offset/nmf-offset. |
| infer_intensities | Infer a matrix of non-negative intensities in NMF |
| projection_onto_simplex | Project vector onto a probabilistic simplex. |
| sim_factors | Simulate matrices to explores 'vrnmf' |
| volnmf_det | Update volume-regularized matrix 'R' using det volume approximation |
| volnmf_estimate | Alternating optimization of volume-regularized NMF |
| volnmf_logdet | Update volume-regularized matrix 'R' using logdet volume approximation. |
| volnmf_main | Volume-regularized NMF |
| volnmf_procrustes | Procrustes algorithm estimates orthonormal transformation between two matrices. |
| volnmf_simplex_col | Update of a matrix in NMF with equality contstraints on columns. |
| volnmf_simplex_row | Update of a matrix in NMF with equality contstraints on rows. |
| vol_preprocess | Preprocess the data for downstream volume analysis. |